Calculation Method of Water Damage Range of Amphibious Weapons Based on Fuzzy Clustering

Guo, B.; Hou, H., and Huang, T., 2019. Calculation method of water damage range of amphibious weapons based on fuzzy clustering. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 284–290. Coconut Creek...

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Veröffentlicht in:Journal of coastal research 2019-09, Vol.93 (sp1), p.284-290
Hauptverfasser: Guo, Baoquan, Hou, Honghua, Huang, Tong
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description Guo, B.; Hou, H., and Huang, T., 2019. Calculation method of water damage range of amphibious weapons based on fuzzy clustering. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 284–290. Coconut Creek (Florida), ISSN 0749-0208. In that estimation of the damage range of the amphibious weapon, the damage range estimation of the amphibious weapon is need to be carried out, the target detection and identification capability is improved, and an amphibious weapon water damage range estimation algorithm based on the fuzzy clustering is proposed. A high-resolution normal distribution model is adopted to construct an amphibious weapon water damage target array distribution node model, a multi-array sensing node sampling and identification method is adopted to carry out the transmission signal and the echo signal sampling of the amphibious weapon water damage target source, the method comprises the following steps of: carrying out an initial orientation estimation of an amphibious weapon water damage target node by adopting an MUSIC algorithm, carrying out spatial beam forming processing according to the parameter estimation result of the water damage target of the amphibious weapon, and extracting a high-order accumulation amount of an amphibious weapon water damage target source array output signal. According to the dynamic characteristics of the high-order accumulation amount, a fuzzy space clustering algorithm is adopted to realize the joint estimation of the damage distance and the azimuth angle two-dimensional parameter of the amphibious weapon, and the water damage range calculation of the amphibious weapon is realized. The simulation results show that the method is used to calculate the damage range of the amphibious weapon, and the accuracy of the water target detection of the amphibious weapon is good and the anti-interference ability is strong.
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Calculation method of water damage range of amphibious weapons based on fuzzy clustering. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 284–290. Coconut Creek (Florida), ISSN 0749-0208. In that estimation of the damage range of the amphibious weapon, the damage range estimation of the amphibious weapon is need to be carried out, the target detection and identification capability is improved, and an amphibious weapon water damage range estimation algorithm based on the fuzzy clustering is proposed. A high-resolution normal distribution model is adopted to construct an amphibious weapon water damage target array distribution node model, a multi-array sensing node sampling and identification method is adopted to carry out the transmission signal and the echo signal sampling of the amphibious weapon water damage target source, the method comprises the following steps of: carrying out an initial orientation estimation of an amphibious weapon water damage target node by adopting an MUSIC algorithm, carrying out spatial beam forming processing according to the parameter estimation result of the water damage target of the amphibious weapon, and extracting a high-order accumulation amount of an amphibious weapon water damage target source array output signal. According to the dynamic characteristics of the high-order accumulation amount, a fuzzy space clustering algorithm is adopted to realize the joint estimation of the damage distance and the azimuth angle two-dimensional parameter of the amphibious weapon, and the water damage range calculation of the amphibious weapon is realized. The simulation results show that the method is used to calculate the damage range of the amphibious weapon, and the accuracy of the water target detection of the amphibious weapon is good and the anti-interference ability is strong.</description><identifier>ISSN: 0749-0208</identifier><identifier>EISSN: 1551-5036</identifier><identifier>DOI: 10.2112/SI93-037.1</identifier><language>eng</language><publisher>Coastal Education and Research Foundation</publisher><subject>amphibious weapon ; Fuzzy clustering ; INDUSTRIAL WATER: EXPLORATION, DAMAGE AND RESTORATION ; multi-array sensing node ; water damage range</subject><ispartof>Journal of coastal research, 2019-09, Vol.93 (sp1), p.284-290</ispartof><rights>Coastal Education and Research Foundation, Inc. 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26853281$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26853281$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27903,27904,57995,58228</link.rule.ids></links><search><creatorcontrib>Guo, Baoquan</creatorcontrib><creatorcontrib>Hou, Honghua</creatorcontrib><creatorcontrib>Huang, Tong</creatorcontrib><title>Calculation Method of Water Damage Range of Amphibious Weapons Based on Fuzzy Clustering</title><title>Journal of coastal research</title><description>Guo, B.; Hou, H., and Huang, T., 2019. Calculation method of water damage range of amphibious weapons based on fuzzy clustering. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 284–290. Coconut Creek (Florida), ISSN 0749-0208. In that estimation of the damage range of the amphibious weapon, the damage range estimation of the amphibious weapon is need to be carried out, the target detection and identification capability is improved, and an amphibious weapon water damage range estimation algorithm based on the fuzzy clustering is proposed. A high-resolution normal distribution model is adopted to construct an amphibious weapon water damage target array distribution node model, a multi-array sensing node sampling and identification method is adopted to carry out the transmission signal and the echo signal sampling of the amphibious weapon water damage target source, the method comprises the following steps of: carrying out an initial orientation estimation of an amphibious weapon water damage target node by adopting an MUSIC algorithm, carrying out spatial beam forming processing according to the parameter estimation result of the water damage target of the amphibious weapon, and extracting a high-order accumulation amount of an amphibious weapon water damage target source array output signal. According to the dynamic characteristics of the high-order accumulation amount, a fuzzy space clustering algorithm is adopted to realize the joint estimation of the damage distance and the azimuth angle two-dimensional parameter of the amphibious weapon, and the water damage range calculation of the amphibious weapon is realized. 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Calculation method of water damage range of amphibious weapons based on fuzzy clustering. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 284–290. Coconut Creek (Florida), ISSN 0749-0208. In that estimation of the damage range of the amphibious weapon, the damage range estimation of the amphibious weapon is need to be carried out, the target detection and identification capability is improved, and an amphibious weapon water damage range estimation algorithm based on the fuzzy clustering is proposed. A high-resolution normal distribution model is adopted to construct an amphibious weapon water damage target array distribution node model, a multi-array sensing node sampling and identification method is adopted to carry out the transmission signal and the echo signal sampling of the amphibious weapon water damage target source, the method comprises the following steps of: carrying out an initial orientation estimation of an amphibious weapon water damage target node by adopting an MUSIC algorithm, carrying out spatial beam forming processing according to the parameter estimation result of the water damage target of the amphibious weapon, and extracting a high-order accumulation amount of an amphibious weapon water damage target source array output signal. According to the dynamic characteristics of the high-order accumulation amount, a fuzzy space clustering algorithm is adopted to realize the joint estimation of the damage distance and the azimuth angle two-dimensional parameter of the amphibious weapon, and the water damage range calculation of the amphibious weapon is realized. The simulation results show that the method is used to calculate the damage range of the amphibious weapon, and the accuracy of the water target detection of the amphibious weapon is good and the anti-interference ability is strong.</abstract><pub>Coastal Education and Research Foundation</pub><doi>10.2112/SI93-037.1</doi><tpages>1</tpages></addata></record>
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subjects amphibious weapon
Fuzzy clustering
INDUSTRIAL WATER: EXPLORATION, DAMAGE AND RESTORATION
multi-array sensing node
water damage range
title Calculation Method of Water Damage Range of Amphibious Weapons Based on Fuzzy Clustering
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